Analysis-by-Synthesis-based Quantization of Compressed Sensing Measurements
Information Theory
2014-05-01 v1 math.IT
Abstract
We consider a resource-constrained scenario where a compressed sensing- (CS) based sensor has a low number of measurements which are quantized at a low rate followed by transmission or storage. Applying this scenario, we develop a new quantizer design which aims to attain a high-quality reconstruction performance of a sparse source signal based on analysis-by-synthesis framework. Through simulations, we compare the performance of the proposed quantization algorithm vis-a-vis existing quantization methods.
Keywords
Cite
@article{arxiv.1404.7651,
title = {Analysis-by-Synthesis-based Quantization of Compressed Sensing Measurements},
author = {Amirpasha Shirazinia and Saikat Chatterjee and Mikael Skoglund},
journal= {arXiv preprint arXiv:1404.7651},
year = {2014}
}
Comments
5 pages, Published in ICASSP 2013